Image and Video Stabilization
Image and Video Stabilization is a research topic within Computer Vision and Pattern Recognition. Science Explorer counts 9.2k research works in it since 1950. 9.8% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on digital video stabilization techniques, including methods such as optical image stabilization, motion estimation, and robust algorithms for real-time stabilization. It covers various approaches such as feature-based stabilization, Kalman filter-based techniques, and global motion estimation for camera path optimization.
- Video Stabilization
- Digital Image Stabilization
- Optical Image Stabilization
- Motion Estimation
- Real-Time
- Feature-Based
- Robust Algorithm
- Kalman Filter
- Global Motion
- Camera Path
- Research works
- 9.2k fractional, since 1950
- In the world top 10%
- 899 per year above
- Top-10% rate
- 9.8% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +20% the tick is no change
- Largest producer
China
69% of the 10 largest, 2022-now
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